Aaron Mishkin
Machine Learning Engineer at SIMONS FOUNDATION INC
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolAaron Mishkin is a machine learning engineer and PhD candidate at Stanford with 11 years of research and engineering experience focused on optimization for machine learning. He has a track record of collaborative internships and research visits at top labs—including Inria, the Simons Foundation, RIKEN, and Amazon Research—and will join Martin Jaggi’s group at EPFL as a postdoc in 2026. His work spans theoretical analyses of gradient methods and practical, robust algorithms (e.g., level set teleportation), reflecting both mathematical depth and applied rigor. Based in Palo Alto, he brings a strong academic foundation from Stanford and UBC plus hands-on software experience from roles like building mission web portals and applied science internships. A quieter thread through his CV is a consistent focus on bridging optimization theory and scalable implementation, often in short, high-impact research stints.
11 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of British ColumbiaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
Github Skills (37)
bayesian-deep-learning8
codeblocks7
perl-script7
julia7
angular6
mxnet6
python6
javascript6
neural-network5
mobile5
shapefile5
go5
latex5
scala5
perl5
Programming languages (7)
Github contributions (5)
ValueChart/WebValueCharts
May 2016 - Jan 2018
A web implementation of ValueCharts.
Contributions:16 releases, 512 commits, 4 PRs in 1 year 8 months
aaronpmishkin/experiment_utils
Apr 2021 - Mar 2025
Contributions:1 release, 50 pushes, 3 branches in 4 years
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